University of Worcester Worcester Research and Publications

Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach

Rezaei, Sajad ORCID:, Shahijan, M.K., Amin, M. and Ismail, W.K.W. (2016) Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach. Journal of Internet Commerce, 15 (4). pp. 408-440. ISSN 15332861

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Prior research has mostly examined the satisfaction, intention, and behavior of users toward technology and systems in general, and little research has been dedicated to understanding apps commerce and app stores. Drawing upon the extended model of IT continuance and theory of information overload as a theoretical foundation, the aim of this study is to examine consumer satisfaction, continuous intention, and behavior toward apps shopping. A total of 347 valid questionnaires were collected from experienced consumers with app stores to statistically test the theoretical model using the partial least squares path modelling approach, a structural equation modelling technique. The results show that apps self-efficacy, post-usage usefulness, disconfirmation, facilitating conditions, perceived information overload, apps satisfaction, and apps continuance intention can be used to predict and explain 75.7 of variance in consumer’s continuance behavior in using app stores. The negative and positive causal relationship between constructs, managerial implications, and limitations are discussed.

Item Type: Article
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Uncontrolled Discrete Keywords: app store, apps commerce, continuous behavior, continuous intention, extended model of IT continuance, theory of information overload
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: College of Business, Psychology and Sport > Worcester Business School
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Depositing User: Sajad Rezaei
Date Deposited: 13 May 2020 10:05
Last Modified: 17 Jun 2020 17:35

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